Energy-efficient Resource Optimization under Cell-free Massive MIMO-NOMA System Based on SWIPT
This paper investigates the performance of wireless energy-carrying communication(SWIPT)in non-orthogonal multiple access(NOMA)-assisted cell-free massive MIMO(CF mMIMO)Internet of Things(IoT).In this paper,we first derive the analytical formulas for harvesting energy and frequency efficiency under the maximally proportional transmission(MRT)and full-conducting frequency forced-zero(FZF)beam fouling based on the established system model.The harvested energy performance is then analyzed when these two types of beam assignments are used.The optimization problem of joint power control and allocation based on maximizing the harvested energy is then established.Then it is solved by deformation and semidefinite relaxation techniques.Finally,the simulation verification shows that all the al-gorithms proposed in this paper have a large improvement in performance.
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